AIMC Topic: Ranibizumab

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Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method.

Translational vision science & technology Sep 3, 2024
PURPOSE: We evaluated the features predicting visual acuity (VA) after one year in neovascular age-related macular degeneration (nAMD) patients.
Aged, 80 and over Male Middle Aged ROC Curve Machine Learning Retrospective Studies Female Aged Intravitreal Injections Fluorescein Angiography Ranibizumab Wet Macular Degeneration Angiogenesis Inhibitors Visual Acuity Tomography, Optical Coherence Indocyanine Green Humans
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IMPACT OF RESIDUAL SUBRETINAL FLUID VOLUMES ON TREATMENT OUTCOMES IN A SUBRETINAL FLUID-TOLERANT TREAT-AND-EXTEND REGIMEN.

Retina (Philadelphia, Pa.) Nov 1, 2021
PURPOSE: To investigate associations between residual subretinal fluid (rSRF) volumes, quantified using artificial intelligence and treatment outcomes in a subretinal fluid (SRF)-tolerant treat-and-extend (T&E) regimen in neovascular age-related macu...
Humans Vascular Endothelial Growth Factor A Follow-Up Studies Wet Macular Degeneration Visual Acuity Intravitreal Injections Artificial Intelligence Subretinal Fluid Tomography, Optical Coherence Fluorescein Angiography Prospective Studies Drug Tolerance Ranibizumab Fundus Oculi Angiogenesis Inhibitors Treatment Outcome
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Automated Quantification of Pathological Fluids in Neovascular Age-Related Macular Degeneration, and Its Repeatability Using Deep Learning.

Translational vision science & technology Apr 1, 2021
PURPOSE: To develop a reliable algorithm for the automated identification, localization, and volume measurement of exudative manifestations in neovascular age-related macular degeneration (nAMD), including intraretinal (IRF), subretinal fluid (SRF), ...
Visual Acuity Macular Degeneration Ranibizumab Humans Reproducibility of Results Deep Learning Angiogenesis Inhibitors
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Quantification of Fluid Resolution and Visual Acuity Gain in Patients With Diabetic Macular Edema Using Deep Learning: A Post Hoc Analysis of a Randomized Clinical Trial.

JAMA ophthalmology Sep 1, 2020
IMPORTANCE: Large amounts of optical coherence tomographic (OCT) data of diabetic macular edema (DME) are acquired, but many morphologic features have yet to be identified and quantified.
Macular Edema Vascular Endothelial Growth Factor A Intravitreal Injections Recombinant Fusion Proteins Ranibizumab Receptors, Vascular Endothelial Growth Factor Subretinal Fluid Humans Deep Learning Female Diabetic Retinopathy Aged Angiogenesis Inhibitors Algorithms Male Follow-Up Studies Retrospective Studies Middle Aged Visual Acuity
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Measuring Anatomical Outcomes of Anti-Vascular Endothelial Growth Factor Treatment of Diabetic Macular Edema With Artificial Intelligence-A Step Toward Individualized Medicine.

JAMA ophthalmology Sep 1, 2020
Diabetes Mellitus Visual Acuity Macular Edema Ranibizumab Diabetic Retinopathy Artificial Intelligence Precision Medicine Deep Learning Humans
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Characterization of Drusen and Hyperreflective Foci as Biomarkers for Disease Progression in Age-Related Macular Degeneration Using Artificial Intelligence in Optical Coherence Tomography.

JAMA ophthalmology Jul 1, 2020
IMPORTANCE: The morphologic changes and their pathognomonic distribution in progressing age-related macular degeneration (AMD) are not well understood.
Intravitreal Injections Fluorescein Angiography Ranibizumab Retinal Drusen Prognosis Tomography, Optical Coherence Humans Male Female Fundus Oculi Artificial Intelligence Disease Progression Aged Retina Angiogenesis Inhibitors Aged, 80 and over Macular Degeneration Follow-Up Studies
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

Investigative ophthalmology & visual science Mar 1, 2019
PURPOSE: To develop deep learning (DL) models for the automatic detection of optical coherence tomography (OCT) measures of diabetic macular thickening (MT) from color fundus photographs (CFPs).
Ranibizumab Photography Diabetic Retinopathy False Positive Reactions Neural Networks, Computer Intravitreal Injections Fundus Oculi Retrospective Studies Diagnostic Techniques, Ophthalmological Macular Edema Female Angiogenesis Inhibitors Macula Lutea Vascular Endothelial Growth Factor A Sensitivity and Specificity Randomized Controlled Trials as Topic Image Interpretation, Computer-Assisted Humans Male Predictive Value of Tests Middle Aged Tomography, Optical Coherence Deep Learning
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Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach.

Investigative ophthalmology & visual science Jun 1, 2017
PURPOSE: The purpose of this study was to predict low and high anti-VEGF injection requirements during a pro re nata (PRN) treatment, based on sets of optical coherence tomography (OCT) images acquired during the initiation phase in neovascular AMD.
Ranibizumab Subretinal Fluid Choroidal Neovascularization Pilot Projects Humans Predictive Value of Tests Aged ROC Curve Machine Learning Tomography, Optical Coherence Aged, 80 and over Angiogenesis Inhibitors Female Vascular Endothelial Growth Factor A Male Visual Acuity Macular Degeneration Middle Aged
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